Suzanne Chamberland
- Molecular Medicine top 0.2%
- Molecular Biology top 10%
- Pharmacology top 1%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Co-authors
- Ving J. LeeOlga LomovskayaRoger LégerMark S. WarrenJohanne BlaisScott J. HeckerKazuki HoshinoHiroko Ishida
- Topics
- Antibiotic Resistance in Bacteria (19 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)Antimicrobial Resistance in Staphylococcus (6 papers)
- Journals
- Journal of the American Chemical SocietyClinical Infectious DiseasesJournal of Medicinal Chemistry
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Suzanne Chamberland
38 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Medicine 1.3k
- Molecular Biology 910
- Pharmacology 691
- Epidemiology 426
- Infectious Diseases 334
Countries citing papers authored by Suzanne Chamberland
This map shows the geographic impact of Suzanne Chamberland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suzanne Chamberland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Chamberland more than expected).
Fields of papers citing papers by Suzanne Chamberland
This network shows the impact of papers produced by Suzanne Chamberland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suzanne Chamberland. The network helps show where Suzanne Chamberland may publish in the future.
Co-authorship network of co-authors of Suzanne Chamberland
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Chamberland. A scholar is included among the top collaborators of Suzanne Chamberland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne Chamberland. Suzanne Chamberland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 64 | |
| 7 | 76 | |
| 8 | 28 | |
| 9 | 50 | |
| 10 | 82 | |
| 11 | Identification and Characterization of Inhibitors of Multidrug Resistance Efflux Pumps in Pseudomonas aeruginosa : Novel Agents for Combination Therapybreakdown → | 731 |
| 12 | 16 | |
| 13 | 35 | |
| 14 | 6 | |
| 15 | 219 | |
| 16 | 13 | |
| 17 | 55 | |
| 18 | 12 | |
| 19 | 27 | |
| 20 | 7 |
About Suzanne Chamberland
Suzanne Chamberland is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Parasitology, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Pharmacology (691 citations) and Applied Microbiology and Biotechnology (65 citations). Suzanne Chamberland has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Ving J. Lee, Olga Lomovskaya, Roger Léger, Mark S. Warren, Johanne Blais, Scott J. Hecker, Kazuki Hoshino, Hiroko Ishida, Jorge L. Galazzo and W. J. Watkins. Their work appears in journals such as Journal of the American Chemical Society, Clinical Infectious Diseases and Journal of Medicinal Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.